WO2015174592A1

WO2015174592A1 - Operation method of gathering information generating server for generating, sharing, and distributing gathering event by collecting smartphone usage log

Info

Publication number: WO2015174592A1
Application number: PCT/KR2014/010707
Authority: WO
Inventors: 주찬진; 이규원
Original assignee: 현대엠엔소프트 주식회사
Priority date: 2014-05-15
Filing date: 2014-11-07
Publication date: 2015-11-19
Also published as: KR102231562B1; KR20150132889A

Abstract

The present invention relates to an operation method of a gathering information generating server for generating, sharing, and distributing a gathering event by collecting a smartphone usage log and, more particularly, to an operation method of a gathering information generating server for generating, sharing, and distributing a gathering event by collecting a smartphone usage log, which collects a log created during use of various applications of a smartphone, generates event data related to a gathering of a smartphone user and acquaintances, and generates and then publishes or distributes event information through the generated event data. An operation method of a gathering information generating server for generating, sharing, and distributing a gathering event by collecting a smartphone usage log, of the present invention has a technical meaning in comprising: a first step of receiving logs generated from one or more applications of a smartphone; a second step of arranging the received logs in temporal sequence according to smartphones, and classifying the logs depending on the log type; a third step of analyzing each of the classified logs and extracting event information from the analyzed logs; a fourth step of extracting, from the extracted event information, expectation information of at least one of a gathering place, a gathering time, and an attendee; and a fifth step of generating gathering information using the extracted expected information and distributing the generated gathering information to the smartphone corresponding to the attendee.

Description

How to operate a meeting information generation server to collect, use, and share meeting events on a smartphone

The present invention relates to a method of operating a meeting information generation server for generating, sharing and distributing a meeting event by collecting a usage log of a smartphone, and more specifically, by collecting logs generated while using various applications of a smartphone. To create event data related to meetings of smartphone users and neighbors, and to generate, share, and distribute meeting events by collecting usage logs of smartphones for creating and publishing or distributing meeting information through the generated event data. It relates to the operation of the meeting information generation server.

The Internet community creates and writes blogs for users to share their daily lives. The blog is provided with a variety of information, such as a subjective description of the place the user visited.

Accordingly, blog is short for weblog, which is a combination of web and log, and the method of managing personal homepage in the past has been greatly improved, making it easier to write posts with less effort. It became.

However, since blogs require users to directly edit both images and write posts, users who write a large number of blogs or many meetings have a problem in that it takes a long time to write a blog.

Accordingly, in recent years, blogs can be written using a blog system that creates blogs by operation.

In Korean Patent Application Publication No. 10-2009-0000112 (2009.01.07), which is a related art, 'a mobile terminal with a blog function and a blog writing method thereof' identify a moving route of a user and visit a visited area for a predetermined time or more. By receiving and storing location information from a GPS satellite and searching for location information and area information corresponding to the location information, a blog is created using the retrieved location name and area information.

Such a prior art determines that a specific event has occurred in a place where a user stays for a predetermined time or more according to a location-based event, and writes a blog. However, the information included in the blog has only a problem such as simple local information or place name information.

In addition, if the location information is not easily confirmed, there is a problem that no blog is generated at all.

In addition, even if a blog is generated based on the location information, since the content of the blog is actually created by the user, there is a problem in that the correct content is not included because there is a problem that the blog is created depending on the user's memory.

The present invention devised to solve the problems of the prior art as described above, by using the smart phone, by collecting the usage log generated in a plurality of applications, and by analyzing the collected usage log to extract the meeting event, the extracted The purpose is to generate meeting information using events.

In addition, the present invention extracts the event according to the use of the smartphone and use the log to generate the meeting information using the call log, text messages (SMS & MMS), photo shooting, calendar information, location information, email, messenger And other purposes for extracting from SNS.

In addition, the present invention recognizes that the meeting with the acquaintances according to the matching log was performed by extracting the matching log compared to the usage log of the neighbors using the extracted usage log, through which to share the meeting There is another purpose.

In addition, the present invention extracts the meeting information by using the various usage logs of the smart phone to generate the meeting information by extracting the place, time, meeting attendees, content, etc. for the meeting, to create a blog or the like without user input There is another purpose to help.

In addition, the present invention in generating the meeting information by analyzing the usage log, by adding a weight to each usage log, when the final weight is the upper group automatically generates the meeting information, the final weight is the median group In this case, the meeting information is generated when the user's approval is input. When the final weight corresponds to a subgroup, there is another purpose of not generating the meeting information.

In addition, the present invention is another object for generating the meeting information by using the matching usage log of the usage log of one or more smartphones are transmitted to the server, each of the integrated usage log transmitted to the server.

The above object of the present invention is a method for operating a meeting information generation server for generating, sharing and distributing a meeting event by collecting a usage log of a smartphone, the first step of receiving a log generated from the application of one or more smartphones And second step of sequentially sorting the transmitted logs according to each smartphone, classifying according to the log type, and analyzing each of the classified logs, and extracting event information from the analyzed logs. And a fourth step of extracting at least one expected information of a meeting place, a meeting time, or an attendee from the extracted event information, and generating meeting information by using the extracted expected information, and generating the meeting information to the attendee. The use of the smartphone comprising a fifth step of distributing to the corresponding smartphone Collects is achieved by operating the meeting information generation server method for creating events and meetings to share and distribute.

In order to solve the problems of the prior art as described above, a method of operating a meeting information generation server for generating, sharing, and distributing a usage event of a smart phone collected by using a smart phone, in a plurality of applications, By collecting the usage log that occurs, and analyzing the collected usage log to extract the meeting event, there is an effect that can automatically generate the meeting information using the extracted event.

In addition, the present invention by collecting the log from the call log, text messages (SMS & MMS), photo shooting, schedule information, location information, e-mail, messenger, SNS, etc. generated by the use of the smart phone, separate input from the user There is another effect of generating meeting information without this.

In addition, the present invention recognizes that the meeting with the close acquaintance according to the matching log was performed by extracting the matching log by using the extracted usage log compared with the usage log of the close acquaintances, gathering the meeting generated through this There is another effect that can be shared with attendees.

In addition, the present invention extracts the meeting information by using the various usage logs of the smart phone to generate the meeting information by extracting the place, time, meeting attendees, content, etc. for the meeting, to create a blog or the like without user input There is another effect that can be.

In addition, the present invention in generating the meeting information by analyzing the usage log, by adding a weight to each usage log, when the final weight is the upper group automatically generates the meeting information, the final weight is the median group In case of, meeting information is generated when the user's approval is input, and when the final weight is a subgroup, the meeting information is not generated. have.

In addition, the present invention has another effect of analyzing the usage log of the smartphone itself through the application of the smartphone, generating meeting information according to the analyzed content, and sharing with other users.

In addition, the present invention collects one or more smartphone usage log in the server, by analyzing the usage log of the same identity to generate the meeting information, it is possible to extract the meeting attendees more easily and thereby generate more accurate meeting information There is another effect that can be.

1 is a block diagram illustrating a meeting information generation server for generating meeting information according to the present invention;

2 is a flowchart illustrating a method for generating a meeting event in a meeting information generation server according to the present invention;

3 is a detailed flowchart illustrating a method of analyzing a log according to a first embodiment in a meeting event generation method of the present invention;

4 is a detailed flowchart illustrating a method of analyzing a log according to a second embodiment in a meeting event generation method of the present invention;

5 is an exemplary diagram for showing the type of log generated by the application of the smartphone according to an embodiment of the present invention,

6 is an exemplary diagram for showing that meeting information is generated based on location according to an embodiment of the present invention.

The terms or words used in this specification and claims are not to be construed as being limited to their ordinary or dictionary meanings, and the inventors may appropriately define the concept of terms in order to best describe their invention. It should be interpreted as meaning and concept corresponding to the technical idea of the present invention based on the principle that the present invention.

Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiment of the present invention and do not represent all of the technical idea of the present invention, various modifications that can be replaced at the time of the present application It should be understood that there may be equivalents and variations.

Hereinafter, preferred embodiments of the present invention will be described in detail.

1 is a block diagram illustrating a meeting information generation server for generating meeting information according to the present invention, FIG. 2 is a flowchart illustrating a method for generating a meeting event in a meeting information generation server according to the present invention. 3 is a detailed flowchart illustrating a method of analyzing a log according to a first embodiment in a meeting event generating method of the present invention, and FIG. 4 is a log of analyzing a log according to a second embodiment in a meeting event generating method of the present invention. Detailed flowchart to illustrate the method.

As shown in FIGS. 1 to 4, various applications (not shown) installed in the smartphone 100 may generate a log while executing various applications or may not generate a separate log. The type of the application installed in the smart phone 100 and the type of log that can be generated accordingly are described with reference to FIG. 5.

5 is an exemplary diagram for showing the type of log generated in the application of the smartphone according to an embodiment of the present invention. As shown in Figure 5, the representative application installed on the smartphone may include a phone call, SMS, camera, schedule management, email, messenger, SNS, black box, navigation, etc., other contacts, calendar, location, image Additional applications for such applications can also be used.

Therefore, when a phone call, which is a typical application of a smartphone, is performed, a log of a location, a log collection time, a callee, a contact group, and the like may be generated directly. Otherwise, a separate log generator 110 corresponds to the log. A log may be generated, and a log of a location, a log collection time, a meeting time, a target person, a contact group, etc. may be generated through SMS.

Also, logs such as location and shooting time are generated through the camera, and logs such as location, meeting time, and target are generated or extracted from contents through schedule management, and location, meeting time, target, Logs such as contact groups can be created or extracted from the content.

In this case, since the GPS location information is included in the picture or video captured by the application using a camera such as a shooting or a black box, the GPS location information is preferably included in the log generated by the camera.

Therefore, when analyzing a plurality of logs generated by the camera, the log of the related location can be grouped and analyzed according to the GPS location information included in the log, when the meeting information is generated through the log, the smartphone is taken The photo is transmitted to the meeting information generating server 200, and the meeting information generated by the meeting information generating server 200 may include a photo taken by the camera.

In addition, a log of a location, a log collection time, a meeting time, a subject, a contact group, etc. may be generated or extracted through a messenger, and a log of a location, a meeting time, a subject, etc. may be generated or extracted through an SNS.

At this time, when a log is generated in the application of the smart phone 100, the log generator 110 may collect the generated log, and in the case of an application in which a separate log is not generated, the log generator 110 may be used. The necessary log can be generated based on the execution of the application.

For example, since an application such as 'telephone call' or 'SMS' stores a time when a telephone call or an SMS is received or transmitted, the log generator 110 may store the corresponding 'telephone call' or 'SMS' as necessary. It is possible to generate a location log where the light is received or sent. At this time, the location log is preferably generated by activating the GPS receiver (not shown) provided in the smartphone (100).

Accordingly, when one or more smartphones 100 and 300 transmit the log generated or extracted by the log generator 110 to the meeting information generation server 200, the log collector 210 in the meeting information generation server 200. Collects the transmitted log (S110).

At this time, it is preferable that the log collected is collected from one or more applications shown in FIG. It may be generated, it is also possible to generate a corresponding log in a separate log generator 110.

The log collection unit 210 in the meeting information generation server 200 sorts the collected logs in sequential order according to the log generation time, and stores the sorted logs in sequential order according to the log group (S120). In this case, the log group may include any one of a log generation time, a log collection time, a log collection number, a target person, a place, a location, a meeting time, a contact group, and are classified and collected for each log group as described above.

Thereafter, the meeting information generating unit 220 in the meeting information generating server 200 analyzes the logs stored in the sequential order by the log collecting unit 210 and classified according to the log group for each log group (S130). ).

Analysis of the log may be performed as shown in FIG. 3 by extracting any one or more of log collection time, subject, place, location, meeting time and contact group from the collected log.

That is, when it is determined that any one or more logs of the location of the analysis target smartphone 100 stay in the same place for the first threshold time or more among the logs classified in step S120, the corresponding location is extracted and set as a meeting candidate site ( S131).

The first threshold time is a time set in advance by the meeting information generation server 200 and may be set to a time enough to determine that the meeting is in progress. For example, the first threshold time may be set to 30 minutes.

That is, when analyzing the location information included in each log arranged in sequential order, if the log started to be generated in the same location is generated in the same location after the first threshold time, by determining that the meeting was formed at the location It is set as a meeting candidate.

Then, when the meeting candidate is set using the log of the analysis target smartphone 100, transmitted from another smartphone (300-1, 300-2, ..., 300-n, denoted by reference numeral 300) Among the logs, the log about the location of the other smartphone 300 matching within the threshold radius is extracted from the meeting candidate extracted from the log of the analysis target smartphone 100 (S132).

That is, when a meeting candidate is set in the log of the analysis target smartphone 100, at least one of the other smartphones 300 located within a predetermined distance from the analysis target smartphone 100 may attend the meeting. Because of the high log of the location within the critical radius from the meeting candidates of the analysis target smartphone 100 is extracted.

At this time, it is possible to extract all other smartphones 300 around the analysis target smartphone 100, but because the analysis range can be very enlarged, extracts only the log about the position within the critical radius from the meeting candidate.

Thereafter, other smartphones corresponding to the extracted log about the location corresponding to the meeting candidate are selected from the logs generated through various applications of the other smartphone 300 and transmitted to the meeting information generation server 200 (S133). ).

The other smartphone 300 located within the critical radius is extracted from the meeting candidate site, and the corresponding analysis target within the second threshold time from the time when the first threshold time from which the meeting candidate site of the analysis target smartphone 100 is extracted ends. The log that has been in contact with the smartphone 100 is extracted (S134).

That is, when a meeting candidate is set among the logs of the analysis target smartphone 100, since at least one of the other smartphones 300 that have contacted the analysis target smartphone 100 may have attended the meeting. Extract the log of another smartphone 300 in contact with the analysis target smartphone 100.

In particular, the log of all other smartphones 300 that have been in contact with the analysis target smartphone 100 may be extracted, but the analysis target smartphone 100 within the second threshold time range because the analysis range may be greatly expanded. Extract the log of another smartphone 300 in contact with the.

In this case, the second threshold time is a time from a time when the first threshold time ends to a predetermined time as the analysis target smartphone 100 sets the meeting candidate site according to the first threshold time, and analyzes within the second threshold time. Extract the log of the other smartphone 300 that has been in contact with the target smartphone 100.

Therefore, located within the critical radius of the meeting candidate site, the other smartphone 300 that has been in contact with the analysis target smartphone 100 within the second threshold time is extracted, and transmitted from the extracted other smartphone 300 The log can be analyzed to extract event information that matches the meeting.

Meanwhile, steps S132 to S134 may be performed in reverse order as shown in FIG. 4 as necessary. That is, when the meeting candidate is set in step S231, the first threshold time is extracted from the time at which the first threshold time is extracted from the log generated through various applications of the other smartphone 300 and transmitted to the meeting information generation server 200. Extract the log that has been in contact with the analysis target smartphone 100 within the threshold time range 2 (S232).

That is, the second threshold time is a time from a time when the first threshold time ends until a predetermined time as the meeting candidate is set according to the first threshold time through the log analysis of the analysis target smartphone 100, and the second time period. The other smartphone 300 is extracted using the log in contact with the analysis target smartphone 100 within the threshold time (S233).

That is, when a meeting candidate is set from the log of the analysis target smartphone 100, the users of other smartphones who have contacted within the second threshold time range before the meeting time are more likely to attend the meeting together. Extract your smartphone. In this case, all other smartphones 300 that have been in contact with the analysis target smartphone 100 may be extracted, but because the analysis range may be greatly expanded, the contact with the analysis target smartphone 100 within the second threshold time range. Take another smartphone 300 taken out.

Accordingly, when the other smartphone 300, which was interconnected through the contact with the analysis target smartphone 100 and the second threshold time, is extracted in step S233, the extracted other smartphone 300 is located at a meeting candidate. Since the contact was made before the time located in the analysis target smartphone 100 and the meeting candidate, it is likely that the attendees attended the meeting together.

Accordingly, the second smartphone 300 communicated with the analysis target smartphone 100 during the second threshold time, and extracted other smartphones 300 that were located together within the critical radius of the meeting candidate, and transmitted from the extracted smartphone 300. The log can be analyzed to extract event information that matches the meeting.

An embodiment of steps S131 to S133 may be described as follows using FIG. 6. 6 is an exemplary diagram for showing that meeting information is generated based on location according to an embodiment of the present invention.

As shown in FIG. 6, in the log of the analysis target smartphone 100 transmitted to the meeting information generation server 200 and analyzed, the analysis target smartphone 100 is located at a number corresponding to 'myeongdong'. When contact is made, the meeting information generating unit 220 of the meeting information generating server 200 analyzes the log generated and transmitted according to the corresponding contact, and the analyzed smartphone 100 is located at 7 pm at the location of the corresponding 'Myeongdong'. It can be confirmed that the first threshold time until more than.

The meeting information generation unit 220 sets 'Myeong-dong', which is the location where the first threshold time is stayed, as a meeting candidate, and analyzes it within the second threshold time from 7:00 PM, which is the time when the analysis target smartphone 100 stays at the meeting candidate site. It extracts using the log received from the other smart phone 300, such as mutual communication with the target smart phone 100 is taken.

At this time, the extracted other smartphone 300 performs other applications such as SMS, phone calls, photos, and other smartphones A, SMS, email, SNS, and phone calls within the second threshold time. Another smartphone B that has performed the application may be extracted.

However, while the location of the log generated while the other smartphone A is in contact with the analysis target smartphone 100 within the second threshold time from 7 o'clock is near 'Myeongdong', the other smartphone B is second from 7 o'clock. If the location of the log generated while performing contact with the analysis target smartphone 100 within the threshold time appears as 'Busan', the meeting information generation unit 220 and the user of the analysis target smartphone 100 and other smartphone A It can be determined that the user of has a high probability of meeting in 'Myeong-dong'.

On the other hand, since the user of another smartphone B is determined to be located in 'Busan', the user of the analysis target smartphone 100 and the user of the other smartphone B are judged to have low probability of meeting each other, and thus are transmitted from another smartphone A. Analyze the log and the log transmitted from the analysis target smartphone 100 to extract the expected meeting information.

Eventually, the other smartphone 300 located within the critical radius is extracted from the meeting candidate site where the analysis target smartphone 100 is located, and the meeting expected information through the log transmitted from the smart phones 100 and 300 located within the critical radius. To extract it.

In this embodiment, weights are added to the analyzed logs according to the extracted event information, respectively (S135 and S235). First, the analyzed log is classified into a parent group, a median group, and a child group, and each group can be given a different weight. In particular, the parent group is given the highest weight, and the child group has the lowest weight. The middle group is given a weight lower than the weight of the upper group and higher than the weight of the lower group.

In detail, when the total number of logs is greater than or equal to a threshold value and one or more of a place, a meeting time, or a subject according to a meeting is explicitly extracted from the analyzed log, the log group is classified as a parent group.

In the present embodiment, the meaning that one or more of a place, a meeting time, or a subject according to a meeting is explicitly extracted means that a log including a specific administrative name or POI name is extracted, such as' Gangnam Station Exit 7 ', or' 7 o'clock. This means that a log containing a specific time, such as', is extracted, or a log containing a specific target, such as' with a number '.

In addition, if the total number of logs is greater than or equal to the threshold and one or more of the collection time, the number of log collections, the location, or the contact group is extracted from the analyzed log, the log group is assigned to the intermediate group. If the total number of logs exceeds the threshold, the log group is assigned as a subgroup.

As such, each log group may be classified into a parent group, a median group, or a sub group, and may be assigned different weights according to the types of groups to be classified, and each log group may be further classified into subgroups as needed. Can be.

In assigning a weight to the log in step S135, when the analyzed log matches the past meeting information stored in the meeting information generating server 200, the corresponding log group is classified into a higher group.

For example, a log generated by 'acquaintance A' and 'acquaintance B' communicating with each other through a call and SNS among logs generated on a specific day in the past is transmitted to the meeting information generation server 200 to generate meeting information. In this case, the currently collected log group is classified as a parent group according to the match between the log of the current acquaintance A and the acquaintance B through the call and the SNS and the log generating the past meeting information.

The item that compares the match between the log that created the past meeting information and the currently collected log is the item more than the set number among items such as the threshold range of log generation time, target, location, location, log group, or log contents. If it is determined that more than one item is matched, the currently collected log group is classified into a higher group.

Subsequently, meeting prediction information such as a meeting place and attendees is extracted from the weighted log according to the classified group characteristics (S150). That is, the log corresponding to the specific meeting is extracted from each of the weighted logs, and the meeting prediction information is extracted from the extracted log. Meeting prediction information includes a meeting place or location, meeting time, attendees, and the like, and each meeting prediction information is extracted including weights.

After extracting the meeting prediction information to generate the meeting information, the meeting prediction information is classified into a matching probability group (S160). The matching probability group is classified into a higher group, a median group, and a lower group, and uses a weighted average value of the extracted meeting prediction information as a classification criterion.

That is, after calculating a weighted average value of each log included in the meeting prediction information, when the weight is included in any one of the upper group, the middle group, or the lower group, the meeting prediction information is classified into the matching probability group.

In this case, when the matching probability group classified according to the weighted average value of each log included in the meeting prediction information is the upper group, meeting information is generated using the extracted meeting prediction information, and the classified matching probability group is the median group. In the case, the extracted meeting prediction information is transmitted to the smartphone and displayed, and as the meeting information generation server 200 receives an input signal input by the user through the smartphone, meeting information is generated using the meeting prediction information.

On the other hand, if the classified matching probability group is a subgroup, the meeting prediction information is deleted and no meeting information is generated. At this time, the form of deleting the meeting prediction information may include immediate deletion or deletion after a certain period of time after storage.

That is, when the matching probability group is the upper group, the meeting prediction information is composed of relatively accurate information, and thus the meeting is generated using the expected meeting information because the meeting probability is high, but the matching probability group is the median group. Since the accuracy of the meeting prediction information may be somewhat insufficient, after confirming whether the meeting information is generated from the corresponding user, the meeting information is generated.

On the other hand, if the matching probability group is a subgroup, it may be considered that the accuracy of the meeting prediction information is insufficient. Therefore, it is difficult to determine that the meeting has been made through the meeting prediction information. Therefore, the extracted meeting prediction is not generated. It is desirable to delete the information.

Therefore, according to each matching probability group, meeting information is not immediately generated using corresponding meeting prediction information, meeting information is generated after user confirmation, or meeting information is not generated (S170).

According to step S170, if the meeting information is generated immediately using the meeting prediction information or the meeting information is generated after the user's confirmation, the meeting information is determined as the target smart phone 100 and the target attending the meeting. Distribution to the phone 300 (S180).

Since the present embodiment is not limited thereto, the meeting information generated in step S180 may be directly posted to the application, SNS, blog, etc. of the user corresponding to the meeting information.

On the other hand, when the meeting information generation server 200 directly posts the generated meeting information, it is preferable to post after receiving the approval to access the application, SNS, blogs, etc. from each user.

Subsequently, the meeting information generated by the meeting information generating unit 220 of the meeting information generating server 200 is transmitted to the smartphones 100 and 300 of the users who transmit the related logs, respectively. Meeting information management unit 140 provided in the) receives the meeting information.

On the other hand, the meeting information received from each smart phone (100, 300) is posted through the meeting information management unit 140 provided in the smart phone (100, 300) (S190).

Meeting information posting of the meeting information management unit 140 in step S190 is to create the meeting information, such as smartphone applications, SNS, blogs, etc., after the user is approved to access the application, SNS, blogs, etc. to post meeting information posted It is desirable to. Access authorization may be received from the user each time the first or each meeting information is published.

On the other hand, the meeting information generated in step S170 is made to include a text, it may further include any one or more of the picture or video as needed.

At this time, if the log of the above picture or video is used to generate the meeting information, the log determines that the picture or video was taken from the meeting information and requests the picture or video to the smartphone that sent the log. In response to the request, one or more of the received photos or videos may be included in the meeting information and posted. However, when one or more of the photos or videos are not received from the smartphone, the meeting information is posted except for the photos or videos.

When a plurality of pictures are posted, the pictures included in the meeting may be listed in a time series, and may be posted in the meeting information. If necessary, multiple pictures may be displayed in the form of a motion picture on one screen. Can be.

In addition, when the log of the black box is included among the logs collected to generate the meeting information, one or more of a photo or video corresponding to the log may be received from the black box and included in the meeting information posting.

At this time, if one or more of the photos or videos are sent, the photos of the black box can be separately generated as a drive course to the place where the meeting information is included and included in the meeting information posting. In this case, it is preferable to display the corresponding picture in the form of a motion picture.

On the other hand, any one or more of the photos or videos included in the meeting information is shared with the participants included in the meeting information. That is, if meeting information is posted to an application, social media, blog, etc., attendees can view any one or more of the photos or videos included in the meeting information, and if necessary, You can download more than one.

In more detail, the smartphone user transmits a signal including information about a picture or a video to be downloaded to the meeting information generating server 200, and according to the signal, a picture of a past meeting information stored in the meeting information generating server 200 or Any one or more of the videos may be received through the smartphone in the form of an album.

Any one or more of the photos or videos posted in album form can be sorted by one or more of the date taken, location or participant, and one of the sorting items is the GPS location or GPS location included in the picture or video. It can be classified according to the administrative region determined by using or the tourist destination determined using the GPS location.

For example, when setting 'Gyeongbokgung Palace' corresponding to a shooting location as a sort item among meeting information posted in the past, including generated meeting information, the meeting information generation server 200 may display a picture or video included in the meeting information. Any one or more of the photo or video including the GPS location corresponding to 'Gyeongbokgung' can be extracted and distributed to the smartphone or posted on the smartphone.

Alternatively, when 'Jeju Island' is set as the sorting item, the meeting information generation server 200 may capture a photograph taken in Jeju Island, which is a GPS location or an administrative district corresponding to 'Jeju Island', in any one or more of the photos or videos included in the meeting information. You can extract photos or videos and distribute them to your smartphone or post them to your smartphone.

The meeting information includes profile information such as the names, addresses, telephone numbers, and e-mails of the attendees, or is set to be provided to each attendee. However, the posting or provisioning of the profile is preferably performed according to the user's setting.

After the meeting information is generated and posted, when a telephone call is received from any one of the attendees of the meeting information, the meeting information with the corresponding attendee who is the telephone call sender is output on the smartphone screen.

Although the present invention has been shown and described with reference to the preferred embodiments as described above, it is not limited to the above embodiments and those skilled in the art without departing from the spirit of the present invention. Various changes and modifications will be possible.

Claims

In the operation method of the meeting information generation server for generating, sharing and distributing meeting events by collecting the usage log of the smartphone,

Receiving a log generated from an application of at least one smartphone;

A second step of sorting the transmitted logs in sequential order according to each smartphone and classifying them according to the log type;

Analyzing each of the classified logs and extracting event information from the analyzed logs;

Extracting expected information of at least one of a meeting place, a meeting time, or an attendee from the extracted event information; And

A fifth step of generating meeting information using the extracted expected information and distributing the generated meeting information to the smartphone corresponding to the attendee;

Method of operating a meeting information generation server for generating, sharing and distributing meeting events by collecting usage logs of the smartphone, including.
The method of claim 1,

The third step is

Step 3-1 of extracting a corresponding location when it is determined that one or more logs among the classified logs regarding the location of the analysis target smartphone stay in the same place for a first threshold time or more;

Step 3-2 of extracting another smartphone having a log matching a second threshold time within a predetermined range from a time when a log corresponding to the location extracted from a log of the analysis target smartphone is generated; And

Step 3-3, wherein the extracted third smartphone extracts one or more logs from among the logs of the location matched within the critical radius and the location extracted from the log of the analysis target smartphone.

Method of operating a meeting information generation server for generating, sharing and distributing meeting events by collecting the usage log of the smartphone comprising a.
The method of claim 1,

The third step is

Step 3-1 of extracting the corresponding location when it is determined that the log regarding the location of the analysis target smartphone stays in the same place for a first threshold time or more among the classified logs;

Step 3-2 of extracting a log of a location matching a location within a critical radius extracted from the log of the analysis target smartphone from the classified logs, and extracting another smartphone generating the extracted log; And

A log matching a second threshold time within a predetermined range from a time when a log corresponding to the location extracted in step 3-1 is generated among logs transmitted by the other smartphone extracted in step 3-2; 3-3 process to extract

Method of operating a meeting information generation server for generating, sharing and distributing meeting events by collecting the usage log of the smartphone comprising a.
The method of claim 2,

And a third to fourth process of extracting event information matching a meeting from among the logs transmitted from the other smartphone and the analysis target smartphone corresponding to the log extracted in step 3-3. How to operate the meeting information generation server to create, share and distribute meeting events by collecting usage logs of smartphones.
The method of claim 4, wherein

The third step may further include a third to fifth process of applying a weight to the event information extracted in step 3-4 to collect and collect a usage log of the smart phone. Operation method of meeting information generation server for distribution.
The method of claim 5,

In the step 3-5, the weight is generated when the sum of the number of logs extracted in the step 3-3 is greater than or equal to a threshold value. Operating method of meeting information generation server for distribution and distribution.
The method of claim 6,

The analyzed log is classified into a higher group, a median group, and a lower group. When one or more of a place, a meeting time, or a target person analyzed in the log extracted in step 3-3 is extracted, the log is recalled. The log is classified into a higher group and given a weight corresponding thereto, and when the log generation time, log collection number, location, or contact group analyzed in the log extracted in step 3-3 are matched and extracted, the log is extracted. Classifying the log into a median group and assigning a weight corresponding thereto, and when the total number of logs extracted in step 3-3 is greater than or equal to a threshold value, classifying the log into a subgroup and assigning a weight corresponding thereto. Meeting schedule for creating, sharing, and distributing meeting events by collecting usage log on a smartphone How to create a beam generation server.
The method of claim 7, wherein

The upper group is given a relatively highest weight, the lower group is given a relatively lowest weight, and the middle group is given a weight lower than the weight of the upper group and higher than the weight of the lower group. Operation method of the meeting information generation server to create, share and distribute meeting events by collecting usage logs of smartphones.
The method of claim 7, wherein

In assigning the weight in step 3-5, when the log matches the past meeting information stored in the server, the log is classified into a higher group. Operation method of meeting information generation server to create, share and distribute events.
The method of claim 4, wherein

In step 3-4, the matching may include a mutual log generation time, subject, among logs transmitted from the analysis target smartphone and logs transmitted from another smartphone corresponding to the log extracted in step 3-3. If any one or more of the location, location, meeting time, or contact group is matched, a meeting for generating, sharing, and distributing a meeting event by collecting a usage log of the smartphone, wherein the event information is extracted from the matching log. How to operate the information generation server.
The method of claim 1,

The application generates a meeting event by collecting a usage log of the smartphone, characterized in that any one or more of a telephone call, a text message, a camera, a calendar, a map, an email, a navigation, a black box, a messenger or a social networking service (SNS). Operation method of meeting information generation server for sharing, sharing and distributing.
The method of claim 1,

The log is the operation of the meeting information generation server for generating, sharing and distributing meeting events by collecting the usage log of the smartphone, characterized in that any one or more of the log generation time, subject, place, location, meeting time or contact group Way.
The method of claim 1,

The meeting information of the fifth step includes a text, but gathers the usage log of the smart phone, characterized in that it further comprises any one or more of the picture or video to generate meeting information for creating, sharing and distributing meeting events How the server works.
The method of claim 13,

Any one or more of the photo or video, along with any one or more of the photo or video of the past meeting information stored in the meeting information generation server, according to a signal input from the user, to any one or more of the shooting date, shooting location or attendee It is arranged in the form of an album by the transmission to the smartphone is posted, the shooting location gathers the usage log of the smartphone, characterized in that the GPS location, administrative area or tourist attractions gathering for creating, sharing and distributing meeting events How to operate the information generation server.
The method of claim 1,

Meeting information for generating, sharing, and distributing a meeting event by collecting a usage log of a smartphone, wherein the meeting information is generated according to a probability group of any one of a predetermined upper, middle, or lower level in the fifth step. How to operate the production server.
The method of claim 15,

If the probability group is an upper probability group, the meeting information is automatically generated and distributed using the extracted predicted information. If the probability group is an intermediate probability group, the meeting information is generated according to an input signal of the user of the smartphone. Generate and distribute the meeting information by using the expected information, and if the probability group is a lower probability group, collecting the usage log of the smart phone, characterized in that the deletion of the expected information and does not generate the meeting information Operation method of meeting information generation server to create, share and distribute events.
The method of claim 1,

When the expected information extracted in the fourth step includes a log of the black box, any one or more of the photo or video of the black box is included in the meeting information, and at least one of the photo or video of the black box. Meeting information for generating, sharing and distributing meeting events by collecting the usage log of the smartphone, characterized in that received from the analysis target smartphone as the meeting information generation server transmits a request signal to the analysis target smartphone How to operate the production server.